Generalized linear and mixed models for label-free shotgun proteomics

MATTHEW C. LEITCH; INDRANIL MITRA; ROVSHAN G. SADYGOV

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Generalized linear and mixed models for label-free shotgun proteomics

机译：无标签shot弹枪蛋白质组学的广义线性和混合模型

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Label-free shotgun proteomics holds great promise, and has already had some great successes in pinpointing which proteins are up or down regulated in certain disease states. However, there are still some pressing issues concerning the statistical analysis of label-free shotgun proteomics, and this field has not enjoyed as much dedication of statistical research towards it as microarray research has. Here we reapply previously used statistical methods, the QSpec and quasi-Poisson, as well as apply the negative binomial distribution to both a control data set and a data set with known differential expression to determine the successes and failure of each of the three methods.

机译：无标记shot弹枪蛋白质组学具有广阔的前景，在确定某些疾病状态下哪些蛋白质被上调或下调方面已经取得了巨大的成功。但是，关于无标记shot弹枪蛋白质组学的统计分析仍然存在一些紧迫的问题，与微阵列研究相比，该领域对统计研究的投入还不够。在这里，我们重新应用了以前使用的统计方法QSpec和准Poisson，并将负二项式分布应用于控制数据集和具有已知差分表达式的数据集，以确定这三种方法中每种方法的成功与失败。

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《Statistics and Its Interface》 |2012年第1期|共10页
作者
MATTHEW C. LEITCH; INDRANIL MITRA; ROVSHAN G. SADYGOV;
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原文格式 PDF
正文语种 eng
中图分类计量学;
关键词
Count data; Statistical models; Spectral count; Label-free quantitative proteomics; p-values; FDR; Negative binomial model; Quasi-Poisson model; Mixture model; Generalized linear models;

机译：计数数据;统计模型;谱计数;无标签定量蛋白质组学;p值;FDR;负二项式模型;拟泊松模型;混合物模型;广义线性模型;

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专利

1. Generalized linear and mixed models for label-free shotgun proteomics [J] . MATTHEW C. LEITCH, INDRANIL MITRA, ROVSHAN G. SADYGOV Statistics and Its Interface . 2012,第1期

机译：无标签shot弹枪蛋白质组学的广义线性和混合模型
2. Supplemental materials for “Generalized linear and mixed models for label-free shotgun proteomics” by Leitch, Mitra, and Sadygov [J] . Statistics and Its Interface . 2012,第1期

机译：Leitch，Mitra和Sadygov的“无标签“弹枪蛋白质组学的广义线性模型和混合模型”的补充材料
3. Generalized linear and mixed models for label-free shotgun proteomics [J] . Matthew C. Leitch, Indranil Mitra, Rovshan G. Sadygov Statistics and Its Interface . 2012,第1期

机译：无标签shot弹枪蛋白质组学的广义线性和混合模型
4. Comparative Proteomic Profiling of Two Chlamydia trachomatis Serovar D Life Cycle Stages Using Label-Free Shotgun Proteomics [C] . Eberhard Durr, Rachel Markley, Jodie Field, American Society for Mass Spectrometry Conference on Mass Spectrometry and Allied Topics . 2012

机译：使用无标签霰弹枪蛋白质组学的两种衣原体Serovar D生命周期阶段的比较蛋白质组学分析
5. Machine learning and in silico modeling for improved identification of peptides from shotgun proteomic MS/MS spectra. [D] . Russell, Steven Arthur. 2005

机译：机器学习和计算机模拟，可改善从shot弹枪蛋白质组MS / MS光谱中鉴定肽的能力。
6. Generalized Linear and Mixed Models for Label-Free Shotgun Proteomics [O] . Matthew C. Leitch, Indranil Mitra, Rovshan G. Sadygov -1

机译：无标签霰弹枪蛋白质组学的广义线性和混合模型
7. Statistical Methods for the Modelling of Label-Free Shotgun Proteomic Data in Cell Line Biomarker Discovery [O] . Gregori Font Josep 2014

机译：细胞系生物标志物发现中无标签Label弹枪蛋白质组数据建模的统计方法

Generalized linear and mixed models for label-free shotgun proteomics

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